Senior Data Scientist, City and Vehicle Tech

Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered more than one billion rides in cities around the world. Named a 2025 Time 100 Most Influential Company, Lime continues to set the pace for shared micromobility globally, spurring a new generation of clean alternatives to car ownership.

We are looking for a Data Scientist to join our growing team as we enter a new phase of expansion. The data science and analytics (DS&A) team’s mission is to make Lime sustainable and more valuable, by identifying and steering the business towards opportunities, guiding the organization to make the best possible decisions, and enabling effective implementation and operations.

In this role, you will work with Product, Engineering, and cross-functional business teams to address challenges and opportunities across City & Vehicle Tech, including hardware pilots and responsible riding initiatives. You’ll set up end-to-end analytical and modeling capabilities (instrumentation, experimentation, model development, validation, and deployment support) that will feed our data-driven decision-making and power product experiences.

Key strengths of this role include curiosity, ownership, and technical depth to operate independently and cross functionally in a fast-paced environment.

This is a remote position with a requirement for candidates residing in the United States to maintain effective collaboration across teams.

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  Lead the development, validation, productionization, and iteration of machine learning models that support city and vehicle tech initiatives, including feature engineering, model selection, performance tuning, and integration into product and enforcement systems

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  Define and establish model and product performance metrics, building clear evaluation frameworks to assess live performance and guide data-driven decision-making

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  Own and contribute to the development of analytical data pipelines and instrumentation required to support modeling, experimentation, and reliable reporting

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  Design, lead, and support experimentation efforts, including product initiatives and pilot programs, to measure impact, validate performance, and deliver insights that inform broader product and business strategy

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  Manage complex, cross-functional initiatives from scoping through executive communication

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  Make business recommendations using effective presentation skills, conveying findings at multiple levels including executive leadership, managers, and peers

• Bachelor’s degree in a quantitative field (e.g. engineering, sciences, math, statistics, computer science, or related discipline); advanced degree preferred

• 5+ years of experience in data science or machine learning roles

• Strong proficiency in Python and SQL

• Demonstrated experience building, validating, and iterating on machine learning models in production environments

• Experience designing experiments and applying statistical methods to evaluate model and product performance

• Ability to independently drive ambiguous, high-impact initiatives

• Strong communication skills and the ability to translate complex modeling concepts into clear business recommendations